Anti-obesity or Leanness Gene Screening Service
InquiryOverview
Epigenetic modifications significantly affect gene expression, thereby regulating aspects of fat metabolism, energy balance, and appetite, which are closely related to obesity. Epigenetics shows great potential in elucidating the mechanisms of obesity development. Identifying epigenetic markers and genes associated with anti-obesity and leanness not only helps to understand the molecular mechanism of obesity but also provides important clues for the development of epigenetic-based diagnostic markers, predictive models, and innovative intervention strategies.
Accelerate Obesity Research with Epigenomic Gene Screening
Protheragen offers an anti-obesity or leanness gene screening service to provide researchers with powerful research tools and accelerate the development of obesity research and intervention strategies. We specialize in high-throughput screening of key genes associated with anti-obesity or leanness phenotypes and their mechanisms of action, providing insights and potential targets for a wide range of research projects.
Genetic Variation Screening
We perform genetic variant detection by high-throughput sequencing (whole genome sequencing, whole exome sequencing, etc.). Association analysis is performed to find genetic variants that are more frequent or significantly associated with anti-obesity or leanness status.
Gene Expression Profiling Screening
We utilize high-throughput RNA sequencing to quantify the expression levels of all genes in samples from different study groups. Differential expression analysis is used to identify key genes that are significantly up- or down-regulated in the anti-obesity or leanness states.
Epigenetic Analysis
This includes genome-wide DNA methylation profiling, histone modification analysis, genome-wide chromatin accessibility analysis, and non-coding RNA profiling.
In-depth Bioinformatics Analysis and Integration
Integrating all analyzed data, candidate genes, key epigenetic regulatory elements, and core signaling pathways significantly associated with anti-obesity or leanness status are identified.
Workflow
- Project consultation and program design
We communicate with you in-depth on key information such as research objectives, sample size, and expected research goals. Then we design efficient and appropriate analytical protocols and bioinformatics analysis strategies based on the actual analytical needs.
- Epigenetic testing and other sequencing analyses
We pre-treat the samples to ensure they meet the subsequent experiments' requirements. After that, we utilize advanced high-throughput sequencing platforms for deep sequencing to generate massive raw sequencing data.
- Bioinformatics analysis
We perform rigorous quality assessment, filtering, and comparison of raw sequencing data to analyze methylation levels, differentially expressed genes, functional enrichment analysis, and gene screening.
Applications
- The service is used to reveal the genetic characteristics of different types of obesity, such as hereditary obesity and foodborne obesity, to support the design of targeted obesity intervention strategies.
- The service can be used to analyze epigenetic biomarkers that can be used to identify and characterize anti-obesity genes or differentiate leanness/obesity phenotypic status.
- The service can be used to gain insight into the epigenetic mechanisms that influence adipogenesis, lipolysis, energy expenditure, appetite regulation, etc.
Advantages
- We use advanced sequencing platforms and proven experimental processes to ensure high-quality and accurate analysis of data.
- Based on a team of experienced bioinformatics experts, we provide in-depth customized data analysis and interpretation services.
- This service focuses on the screening of anti-obesity or leanness-related genes, fitting specific research protocols, and laying the foundation for the genetic mechanism of obesity.
One-stop Anti-obesity Research Support
We also provide one-stop anti-obesity research services, which include the following:
Publication Data
Technology: Microarray
Journal: Gene Reports
IF: 1
Published: 2024
Results: This study combines genomics and transcriptomics data to provide an in-depth analysis of PAS-SNPs based on previously analyzed polyadenylation signal (PAS) single-nucleotide polymorphisms (PAS-SNPs) in several obesity candidate genes. The researchers identified differentially expressed genes (DEGs) in tissues. Candidate PAS-SNPs were prioritized according to whether they were located in the DEG and the type of PAS alteration they caused, and the possible consequences of alternative polyadenylation (APA) alterations were investigated. The analysis revealed the presence of multiple PAS-SNPs in DEG, which contained 12 high-priority and 7 medium-priority candidate sites. These candidate PAS-SNPs are located in the introns of 12 protein-coding genes and one lncRNA. These SNPs may affect APA by influencing PAS motifs and are associated with obesity. This study provides useful information for analyzing PAS-SNPs, related genes, and their effects on obesity/leanness phenotypes, and for explaining the heritability of common deletions in complex traits.
Fig.1 The overall flow of the study. (Šimon, et al., 2024)
Frequently Asked Questions
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What type of sample do I need to provide?
We accept fresh or frozen tissue samples, cultured cell samples, DNA samples, and more. Please let us know about your samples during your project consultation, and we provide detailed guidelines for sample preparation and transportation.
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What is included in the bioinformatics analysis? Can I customize the analysis?
We offer flexible and customized analysis services. Routine bioinformatics analyses include data quality control, comparison, quantification, differential analysis, functional enrichment analysis, and so on. You also propose personalized analysis needs based on your specific research questions. We develop a customized analysis process.
Protheragen provides a one-stop anti-obesity or leanness gene screening service with a comprehensive technology platform, professional analytical capability, and rich project experience. We look forward to working with you to advance the field of obesity research and contribute to the development of more effective and personalized obesity intervention strategies. Welcome to contact us for a detailed service plan to start your research journey!
Reference
- Šimon, M.; et al. Integration of genomic and transcriptomic data of inbred mouse models for polygenic obesity and leanness revealed "obese" and "lean" candidate alleles in polyadenylation signals. Gene Reports. 2024, 35: 101903. (CC BY 4.0)
All of our services and products are intended for preclinical research use only and cannot be used to diagnose, treat or manage patients.